The theory of planned behavior and Internet purchasing

By Joey F. George. Internet Research, 2004

781 citations recorded by the source corpus.

Subfields: Information Systems and Management, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/00660383a156688afe81b5a15d870b1332871c06

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Citations in the corpus

Intention to Use Mobile Payment System: A Case of Developing Market by Ethnicity (2016, background): “Normat ive belief is composed of two factors, namely interpersonal influence and external influence (Chibber, 2012; George, 2004).”
Predicting consumer intentions to shop online: An empirical test of competing theories (2007, result): “This result is consistent with previous research on B2C e-commerce [11,41], which reported that consumers who are confident about engaging in online purchasing are more willing to shop online.”
Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers' use of social media for transactions (2018, background): “However, scholars have criticized both TAM and TPB models as being incomplete and overlooking important concepts (Hansen, Jensen, & Solgaard, 2004; George, 2004; Liu, Marchewka, Lu, & Yu, 2004; Mathieson, 1991; Pavlou & Fygenson, 2006).”
An Analysis of Factors Affecting on Online Shopping Behavior of Consumers (2012, background): “Previous research has revealed attitude towards online shopping is a significant predictor of making online purchases (Yang et al. , 2007) and purchasing behavior (George, 2004; Yang et al. , 2007).”
Purchase intention and purchase behavior online: A cross-cultural approach (2020, methodology): “Following George (2004), in this investigation, online purchase behavior is understood as the frequency with which consumers make purchases over the Internet.”
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017, result): “This path has also been empirically supported in other studies (e.g., Bajaj and Nidumolu 1998; George 2004; Kim et al. 2008; Pijpers et al. 2001) of IS/IT adoption.”
Privacy in the Digital Age: A Review of Information Privacy Research in Information Systems (2011, background): “When trust is considered as a factor together with information privacy, trust is more important than privacy when determining Internet purchasing intentions (Bélanger et al. 2002; George 2004).”
Reward crowdfunding contribution as planned behaviour: An extended framework (2019, neutral): “Hsu & Chiu, 2004), adoption of e-commerce (Grandón, Nasco, & Mykytyn, 2011), adoption of e-banking (Shih & Fang, 2004), Internet purchasing (George, 2004), online shopping (M.”
Modelling and testing consumer trust dimensions in e-commerce (2017, background): “, 2007) TPB Behavioural Intention X (George, 2004) TPB Internet purchasing X X X (Lin, 2007) TAM; TPB Actual usage X X X (Mansour, Kooli, &”
Determinants Of Knowledge Sharing Behaviors: Developing And Testing An Integrated Theoretical Model (2006, positive): “A number of studies in information systems have also used TPB to predict the usage of technology (Morris et al., 2005; George, 2004).”
Understanding the Blockchain technology adoption in supply chains-Indian context (2018, background): “Past studies have found inconsistent ﬁndings as regards the relationship between perceived behaviour control and behavioural Intention (Chai and Pavlou 2004; George 2004).”